dataclass: Finmix 'dataclass' constructor
In simonsays1980/finmix: An R package for Bayesian estimation of finite mixture distributions
Description
Usage
Arguments
Value
References
See Also
Description
Calling dataclass() classifies data using a fully specified mixture model.
Henceforth, the finite mixture model model must be fully specified, i.e.
containing parameters in slot par, weights in slot weight and
indicators in slot S of the corresponding fdata object.
Usage
1
Arguments
fdata
An fdata object containing observations in slot y and
indicators in slot S.
model
A model object containing parameters in slot par and
and weights in slot weight.
simS
A logical defining, if the indicators S should be simulated.
Value
A dataclass object containing the classification matrix,
model log-likelihood, entropy and indicators, if the latter have been
simulated.
References
Frühwirth-Schnatter, S. (2006), "Finite Mixture and Markov Switching
Models"
See Also
-
dataclass for the class definition
simonsays1980/finmix documentation built on Dec. 23, 2021, 2:25 a.m.
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Description Usage Arguments Value References See Also
Description
Calling dataclass() classifies data using a fully specified mixture model.
Henceforth, the finite mixture model model must be fully specified, i.e.
containing parameters in slot par, weights in slot weight and
indicators in slot S of the corresponding fdata object.
Usage
1 |
Arguments
fdata |
An |
model |
A |
simS |
A logical defining, if the indicators |
Value
A dataclass object containing the classification matrix,
model log-likelihood, entropy and indicators, if the latter have been
simulated.
References
Frühwirth-Schnatter, S. (2006), "Finite Mixture and Markov Switching Models"
See Also
-
dataclass for the class definition
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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